Hybrid control system for automatic voltage regulator in smart grid

Ting Chia Ou; Ta Peng Tsao; Chih Ming Hong; Chiung Hsing Chen

doi:10.1109/ICMLC.2013.6890757

Hybrid control system for automatic voltage regulator in smart grid

Ting Chia Ou, Ta Peng Tsao, Chih Ming Hong, Chiung Hsing Chen

智慧與永續製造學位學程

研究成果: Conference contribution

8 引文斯高帕斯（Scopus）

摘要

This paper presents a hybrid algorithm for an automatic voltage regulator (AVR), and particularly to using a fuzzy sliding mode control and a radial basis function network (RBFN) as driving control of a power system stabilizer (PSS) to control the output power. Through hybrid control of the two modes, optimum stable operation of a power generation system is achieved by on line learning of a recurrent radial basis function network (RRBFN).

原文	English
主出版物標題	Proceedings - International Conference on Machine Learning and Cybernetics
發行者	IEEE Computer Society
頁面	1103-1108
頁數	6
ISBN（電子）	9781479902576
DOIs	https://doi.org/10.1109/ICMLC.2013.6890757
出版狀態	Published - 2013
事件	12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 - Tianjin, China 持續時間: 2013 7月 14 → 2013 7月 17

出版系列

名字	Proceedings - International Conference on Machine Learning and Cybernetics
卷	3
ISSN（列印）	2160-133X
ISSN（電子）	2160-1348

Other

Other	12th International Conference on Machine Learning and Cybernetics, ICMLC 2013
國家/地區	China
城市	Tianjin
期間	13-07-14 → 13-07-17

All Science Journal Classification (ASJC) codes

人工智慧
計算機理論與數學
電腦網路與通信
人機介面

UN SDG

此研究成果有助於以下永續發展目標

存取文件

10.1109/ICMLC.2013.6890757

其它文件與鏈接

引用此

Ou, T. C., Tsao, T. P., Hong, C. M., & Chen, C. H. (2013). Hybrid control system for automatic voltage regulator in smart grid. 於 Proceedings - International Conference on Machine Learning and Cybernetics (頁 1103-1108). 文章 6890757 (Proceedings - International Conference on Machine Learning and Cybernetics; 卷 3). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2013.6890757

@inproceedings{45b5865d672a47b4922fccf78665f076,

title = "Hybrid control system for automatic voltage regulator in smart grid",

abstract = "This paper presents a hybrid algorithm for an automatic voltage regulator (AVR), and particularly to using a fuzzy sliding mode control and a radial basis function network (RBFN) as driving control of a power system stabilizer (PSS) to control the output power. Through hybrid control of the two modes, optimum stable operation of a power generation system is achieved by on line learning of a recurrent radial basis function network (RRBFN).",

author = "Ou, {Ting Chia} and Tsao, {Ta Peng} and Hong, {Chih Ming} and Chen, {Chiung Hsing}",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 ; Conference date: 14-07-2013 Through 17-07-2013",

year = "2013",

doi = "10.1109/ICMLC.2013.6890757",

language = "English",

series = "Proceedings - International Conference on Machine Learning and Cybernetics",

publisher = "IEEE Computer Society",

pages = "1103--1108",

booktitle = "Proceedings - International Conference on Machine Learning and Cybernetics",

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}

Ou, TC, Tsao, TP, Hong, CM & Chen, CH 2013, Hybrid control system for automatic voltage regulator in smart grid. 於 Proceedings - International Conference on Machine Learning and Cybernetics., 6890757, Proceedings - International Conference on Machine Learning and Cybernetics, 卷 3, IEEE Computer Society, 頁 1103-1108, 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013, Tianjin, China, 13-07-14. https://doi.org/10.1109/ICMLC.2013.6890757

TY - GEN

T1 - Hybrid control system for automatic voltage regulator in smart grid

AU - Ou, Ting Chia

AU - Tsao, Ta Peng

AU - Hong, Chih Ming

AU - Chen, Chiung Hsing

PY - 2013

Y1 - 2013

N2 - This paper presents a hybrid algorithm for an automatic voltage regulator (AVR), and particularly to using a fuzzy sliding mode control and a radial basis function network (RBFN) as driving control of a power system stabilizer (PSS) to control the output power. Through hybrid control of the two modes, optimum stable operation of a power generation system is achieved by on line learning of a recurrent radial basis function network (RRBFN).

AB - This paper presents a hybrid algorithm for an automatic voltage regulator (AVR), and particularly to using a fuzzy sliding mode control and a radial basis function network (RBFN) as driving control of a power system stabilizer (PSS) to control the output power. Through hybrid control of the two modes, optimum stable operation of a power generation system is achieved by on line learning of a recurrent radial basis function network (RRBFN).

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U2 - 10.1109/ICMLC.2013.6890757

DO - 10.1109/ICMLC.2013.6890757

M3 - Conference contribution

AN - SCOPUS:84907275943

T3 - Proceedings - International Conference on Machine Learning and Cybernetics

SP - 1103

EP - 1108

BT - Proceedings - International Conference on Machine Learning and Cybernetics

PB - IEEE Computer Society

T2 - 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013

Y2 - 14 July 2013 through 17 July 2013

ER -

Hybrid control system for automatic voltage regulator in smart grid

摘要

出版系列

Other

All Science Journal Classification (ASJC) codes

UN SDG

存取文件

其它文件與鏈接

指紋

引用此